Italy

# for plotly
from plotly.offline import iplot
from plotly.offline import init_notebook_mode, plot
from IPython.core.display import display, HTML
import plotly as py
import plotly.tools as tls

import datetime
import numpy as np
import pandas as pd
import hedera_covid as hc

IT = hc.DataHandlerItaly()

all_r = IT.get_all_region_names()

new_cases = []
for r in all_r:
    new_cases.append(
        IT.get_plot_data(r, 'nuovi_positivi',n_smooth=7)
        )


deaths = []
for r in all_r:
    deaths.append(
        IT.get_plot_data(r, 'deceduti',n_smooth=7)
        )


tests = []
for r in all_r:
    tests.append(
        IT.get_plot_data(r, 'tamponi',n_smooth=7)
        )

#hc.plot_structure(new_cases,title="New cases")

#hc.plot_structure(deaths,title="Total deaths")


#hc.plot_structure(tests,title="Tested")

import plotly.graph_objects as go
init_notebook_mode(connected=True)

fig = {
    "data": new_cases,
    "layout": {"title": {"text": "Daily Cases"},
               "legend": {'x':0.1, 'y':-.1},
               "legend_orientation":"h",
               "height": 1200,
               "width": 1000
              }
    
}

#fig.update_layout(xaxis_tickangle=-90)
#fig.update_layout()


plot(fig, filename = 'figure.html')
display(HTML('figure.html'))

import plotly.graph_objects as go
init_notebook_mode(connected=True)

fig = {
    "data": deaths,
    "layout": {"title": {"text": "Total deaths"}}
}

plot(fig, filename = 'figure.html')
display(HTML('figure.html'))
plot(fig, filename = 'figure.html')
display(HTML('figure.html'))